Abstract: Systems and methods are provided that address the need to frequently calibrate analyte sensors, according to implementation. In more detail, systems and methods provide a preconnected analyte sensor system that physically combines an analyte sensor to measurement electronics during the manufacturing phase of the sensor and in some cases in subsequent life phases of the sensor, so as to allow an improved recognition of sensor environment over time to improve subsequent calibration of the sensor.

Abstract: A LIDAR system includes a LIDAR chip configured that outputs a LIDAR output signal. The LIDAR system also includes a LIDAR adapter that receives the LIDAR output signal from the LIDAR chip and also outputs the LIDAR output signal from the LIDAR system and toward a sample region in a field of view. The LIDAR adapter also receives a LIDAR return signal that includes light from the LIDAR output signal after the LIDAR output signal is reflected by an object located in the sample region. The LIDAR output signal and the LIDAR return signal travel the same optical pathway between the LIDAR adapter and the object. The LIDAR adapter is also configured to output a LIDAR input signal that is received by the LIDAR chip and includes or consists of light from the LIDAR return signal. The LIDAR input signal and the LIDAR output signal travel different optical pathways between the LIDAR adapter and the LIDAR chip.

Abstract: Various embodiments herein relate to systems and methods for detecting seismic events. Systems may include inertial sensors distributed on or in communication with a network of optically switchable windows in the building. In some systems, inertial sensors are located within a window controller, within an insulated glass unit, or in some way rigidly attached to the structure of a building. Logic is described for leveraging sensed inertial data to predicted a seismic event and/or evaluate the structural health of the building. In some cases, logic may be used to issue an alert to building occupants about impending shear waves that will arrive at the building's location. In some cases, a window network may respond to a detected seismic event by, e.g., changing the optical state of windows and/or providing occupants with evacuation instructions.

Abstract: Methods, apparatuses, and non-transitory machine-readable media associated with relative humidity (RH) sensors are described. Examples can include receiving from an RH sensor RH information of an environment of a processing resource or a memory resource coupled to the processing resource, or both, determining that the RH information indicates an RH level above a particular threshold for the processing resource or the memory resource, or both, and disabling one or more aspects of the processing resource or the memory resource, or both, to mitigate damage to the processing resource or the memory resource, or both, responsive to determining that the RH is above the particular threshold.

Abstract: A system, apparatus, and method for determining intact versus fractured rock zones based on performance monitoring of an electric drilling machine when drilling a blasthole. The determination can be based on a calculation of compensated blastability index (“CBI”) values using transformed performance monitoring data collected in real-time as the drilling machine drills the blasthole.

Abstract: Processes and systems described herein are directed to imaging a subterranean formation from seismic data recorded in a marine survey with moving marine vibrators. The marine vibrators generate random sweeps with random sweep signatures. Processes and systems generate an up-going pressure wavefield from measured pressure and vertical velocity wavefield data recorded in the marine survey and obtain a downgoing vertical acceleration wavefield that records source wavefields, directivity, source ghosts, and random signatures of the random sweeps. The downgoing vertical acceleration wavefield data is deconvolved from the up-going pressure wavefield to obtain a subsurface reflectivity wavefield that is used to generate an image of the subterranean formation with reduced contamination from source wavefields, directivity, source ghosts, and random signatures of the random sweeps.

Abstract: Methods and systems for identifying a pay zone in a subterranean formation can include: logging a well extending into the subterranean formation including measuring bulk density, compressional wave travel time and shear wave travel time at different depths in the subterranean formation; calculating elastic attributes including acoustic impedance and compressional velocity-shear velocity ratio at different depths in the subterranean formation; and displaying and analyzing the calculated elastic attributes to identify the low resistivity pay zones.

Abstract: A surveying pole system comprising a surveying pole including two telescopic sections for providing length adjustability. At a first end of the surveying pole, a pointing tip is disposed for positioning on a target point of the environment. At a second end, a length reference point is disposed. The surveying pole also includes a locking mechanism for locking the length adjustability in respective lock-in positions. Each of the lock-in positions provides a corresponding distance between the pointing tip and the length reference point. A plurality of coded identifiers have a predetermined code associated with one of the lock-in positions. The surveying pole also includes a coded-identifier reader for reading the code of a respective coded identifier associated with the respective lock-in position, a communication device configured for transmitting a signal to a surveying instrument, wherein the signal is based at least on the read code.

Abstract: Systems and methods are provided for generating a model for detection of seismic events. In this regard, one or more processors may receive from one or more stations located along an underwater optical route, one or more time series of polarization states of a detected light signal during a time period. The one or more processors may transform the one or more time series of polarization states into one or more spectrums in a frequency domain. Seismic activity data for the time period may be received by the one or more processors, where the seismic activity data include one or more seismic events detected in a region at least partially overlapping the underwater optical route. The one or more processors then generate a model for detecting seismic events based on the one or more spectrums and the seismic activity data.

Abstract: An earthquake estimation method for more promptly estimating an earthquake on the basis of observation data. The earthquake estimation method includes, by a computer: generating an observation image showing a spatial distribution of seismic wave propagation on a basis of an observation result of seismic waves at a plurality of observation points on a ground; and estimating a parameter of an earthquake with respect to the observation image by using an earthquake estimation model in which a parameter of an earthquake including at least a position of a hypocenter and a magnitude is associated with a simulated observation image showing a spatial distribution of seismic wave propagation on a ground obtained from a result of a numerical simulation of the earthquake, performed with the parameter.

Abstract: A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Abstract: A distributed weather system includes a storage, a plurality of wireless weather stations, a server, and an interface. Each of the plurality of wireless weather stations is associated with a user and has a battery, a location sensor generating location information, an anemometer generating apparent wind speed, a transmitter transmitting the location information with the apparent wind speed to a network at periodic intervals, and a receiver receiving control commands that include a length of the periodic intervals. The server receives the location information with the apparent wind speed and stores them in the storage. The interface is accessible by a mobile computer, and receives the control commands from a user and sends them to the receiver of the wireless weather station associated with the user. The interface displays a true wind speed for each of the plurality of wireless weather stations, which is calculated using the apparent wind speed, the location information, and historical location information.

Abstract: A retrofit valve shutoff device is provided that comprises a coupling key for coupling with an actuator of a shutoff valve on a fluid supply line, an inertial measurement unit for generating one or more signals in response to arrival of seismic waves, a motor for rotating the coupling key and the actuator of the shutoff valve, and a processing unit for receiving the one or more signals from the inertial measurement unit, analyzing the received signals to determine whether to close the shutoff valve, and sending a signal to the motor to rotate the coupling key and the actuator of the shutoff valve to close the shutoff valve based on the analysis of the received signals.

Abstract: Methods, apparatus, and processor-readable storage media for analyzing time series data for sets of devices using machine learning techniques are provided herein. An example computer-implemented method includes processing time series data from multiple devices; generating at least one data forecast by applying, in response to a request from at least one user, one or more machine learning techniques to at least a portion of the processed time series data; computing one or more qualifying values attributable to the at least one generated data forecast by providing the at least one generated data forecast and the at least a portion of the processed time series data to a conformal prediction framework; and performing one or more automated actions based at least in part on the at least one generated data forecast and the one or more computed qualifying values.

Abstract: Data to be processed includes vector element values of an input vector and matrix element values of a model matrix associated with a neural network model. A vector-matrix multiplication module receives a set of matrix element values for performing a vector-matrix multiplication operation. Processing the data includes computing a plurality of intermediate vectors based on element-wise vector multiplication between different subsets of the vector element values and different respective pre-processing vectors. The vector-matrix multiplication module is loaded with a core matrix, and the input vector is multiplied by the model matrix based on separately multiplying each of the intermediate vectors by the loaded core matrix.

Abstract: Systems and methods for evaluating hydrocarbon properties. At least one of the systems includes: a drilling machine configured to drill a borehole; a plurality of infrared cameras configured to capture infrared image data representing a plurality of infrared images of at least one core sample extracted from the borehole; a computer-readable memory comprising computer-executable instructions; and at least one processor configured to execute the computer-executable instructions, in which when the at least one processor is executing the computer-executable instructions, the at least one processor is configured to carry out operations including: receiving the infrared image data captured by the plurality of infrared cameras; determining, based on the infrared image data, at least one hydrocarbon weight value of the at least one core sample.

Abstract: Content-sensitive computer applications are run on computer hosts in a computer cluster. A computer application running history including but not limited to computer host scores is recorded for the computer cluster. A request to start a container for a content-sensitive computer application type in the computer cluster is received. In response, available computer hosts in the computer cluster are identified. A specific computer host is selected from among the available computer hosts to run the container for the content-sensitive computer application type.

Abstract: A multi-wavefield seismic detection method and system based on construction noise of a shield machine. Multi-wavefield seismic information such as a body wave and a surface wave formed during propagation of a seismic wave generated by excitation in a stratum is obtained by using noise information caused by the construction of a shield machine as a seismic source, a stratum velocity model along a tunnel is constructed through joint inversion, and reflection wave information or the like is used for migration imaging, to eventually implement relatively accurate detection of a geological condition in front of a tunnel face of shield construction.

Abstract: A method can include acquiring imagery of an exposed surface of the Earth; generating a multi-dimensional model based at least in part on the imagery; generating synthetic seismic data utilizing the multi-dimensional model; acquiring seismic data of a subsurface region of the Earth; performing a search that matches a portion of the acquired seismic data and a portion of the synthetic seismic data; and characterizing the subsurface region of the Earth based at least in part on the portion of the synthetic seismic data.

Abstract: A dip angle-steering median filtering method based on a niche differential evolution algorithm, comprising the following steps: dividing a data to be processed into a series of overlapping time-space windows; obtaining an event energy curve in a time-space window and obtaining an event position according to a local maximum value of the event energy curve; obtaining event dip angles and coherence values of the event dip angles through the niche differential evolution algorithm at the event position; filtering the event dip angles according to the event dip angles and the coherence values of the event dip angles; and performing a median filtering sequentially along a filtering dip angle. The disclosure can simultaneously obtain all dip angles of intersecting events and a true three-dimensional feature enable the present disclosure to obtain a better filtering effect.